Results 201 to 210 of about 160,009 (293)

Ultrahigh‐Linear Bio‐Inspired Janus Elastomeric Strain Sensor with High Sensitivity and Stretchability via Surface Wrinkle Engineering

Advanced Science, EarlyView.
A bio‐inspired Micro‐wrinkled Janus elastomeric flexible strain sensor mimicking wrinkled‐leaf viburnum is developed. Endowed with a synergistic sensing mechanism including wrinkle‐guided microcracks, modulus‐gradient‐driven strain division, and a parallel conductive circuit, it achieves ultra‐high linearity, sensitivity, wide strain range, and ...
Jing Lin, Ye Li, Simi Yu, Xing Cheng, Longxin Qian, Yufei Chen, Womin Li, Zhipeng Yang, Yinlei Lin, Dechao Hu, Jianyi Luo, Lan Liu   +11 more
wiley   +1 more source

Dual‐Strategy Design of Heterojunction‐Enhanced Piezoelectric Hydrogels for Periodontitis Treatment

Advanced Science, EarlyView.
This study developed a piezoelectric hydrogel integrating heterojunction enhancement and dual‐salt synergy, combining robust electrical performance with mechanical stability and bioactivity to better match the periodontal microenvironment. Under ultrasound activation, the hydrogel markedly promotes macrophage M2 polarization, thereby reducing the ...
Qiangqiang Zhou, Shaojun Fang, Changyi Li, Mengqi Zhou, Xin Sui, Chen Hu, Huaxing Xu, Shiyi Yang, Bing‐Qiang Lu, Rongjun Zhang, Xiaoling Wei   +10 more
wiley   +1 more source

Exchange Length Tailored Magnetic Resonance for Broadband Absorption in FeCo‐Based Alloys

Advanced Science, EarlyView.
To break the high‐frequency magnetic loss bottleneck in soft magnetic alloys, a magnetic exchange length (Lex)‐guided strategy is proposed. Cu doping increases Lex and intergranular coupling, which effectively reduces magnetic anisotropy and pushes the exchange resonance to 12.0 GHz.
Xiaoyang Liu, Yingli Zhu, Shuangxin Zhang, Gangtao Luo, Mengke Qiao, Jiang Wu, Xiangcheng Li   +6 more
wiley   +1 more source

Interference Mitigation for Cyber-Physical Wireless Body Area Network System Using Social Networks. [PDF]

IEEE Trans Emerg Top Comput, 2013
Zhang Z, Wang H, Wang C, Fang H.
europepmc   +1 more source

Liquid Metals in Radio Frequency Applications: A Review of Physics, Manufacturing, and Emerging Technologies

Advanced Electronic Materials, EarlyView.
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley   +1 more source

Body-resonance: transmission line-like wireless links enabling high-speed wearable communication. [PDF]

Commun Eng
Sarkar S, Huang Q, Antal S, Nath M, Sen S.   +4 more
europepmc   +1 more source

Ethical and Frugal Approaches to Animal Experimentation in Bioelectronics and Neural Engineering—An Invertebrate Renaissance?

Advanced Electronic Materials, EarlyView.
Invertebrates are the classic neuroscience models and should make a comeback. Invertebrate organisms can be a more ethical and cost‐effective way to move bioelectronics research forward more rapidly. ABSTRACT The accelerating development of bioelectronic neural interfaces has brought increased attention to ethical considerations surrounding in vivo ...
Eric Daniel Głowacki
wiley   +1 more source

Routing Protocols for Wireless Body Area Networks: Recent Advances and Open Challenges. [PDF]

Sensors (Basel)
Qin H, Su H, Niu X, Chen H.
europepmc   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

Joint energy-aware task offloading and privacy protection in healthcare monitoring systems via deep reinforcement learning. [PDF]

Sci Rep
Zhang J, Hu Y, Shao M, Li X.
europepmc   +1 more source